license: afl-3.0
datasets:
- bigbio/muchmore
language:
- de
Model Description
- **Finetuned from model: bert-base-german-cased
Model Sources [optional]
- **Repository: https://github.com/sitingGZ/bert-sner
- **Paper : BERT-SNER
- **Demo (Coming soon)
Uses
import sys sys.path.append('modules')
import torch from transformers import AutoConfig, AutoTokenizer, AutoModelForMaskedLM, EncoderDecoderConfig from BERT2span_semantic_disam import BERT2span from helpers import load_config, set_seed from inference import final_label_results_rescaled
base_name = "bert-base-german-cased" configs = load_config('configs/step3_gpu_span_semantic_group.yaml') tokenizer = AutoTokenizer.from_pretrained(base_name) bertMLM = AutoModelForMaskedLM.from_pretrained(base_name) bert_sner = BERT2span(configs, bertMLM, tokenizer)
checkpoint_path = "checkpoints/german_bert_ex4cds_500_semantic_term.ckpt" state_dict = torch.load(checkpoint_path, map_location=torch.device('cpu')) bert_sner.load_state_dict(state_dict) bert_sner.eval()
suggested_terms = {'Condition': 'Zeichen oder Symptom', 'DiagLab': 'Diagnostisch und Laborverfahren', 'LabValues': 'Klinisches Attribut', 'HealthState': 'Gesunder Zustand', 'Measure': 'Quantitatives Konzept', 'Medication': 'Pharmakologische Substanz', 'Process': 'Physiologische Funktion', 'TimeInfo': 'Zeitliches Konzept'}
words = "Aktuell Infekt mit Nachweis von E Coli und Pseudomonas im TBS- CRP 99mg/dl".split() words_list = [words] heatmaps, ner_results = final_label_results_rescaled(words_list, tokenizer, berst_sner, suggested_terms, threshold=0.5)
Direct Use
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Downstream Use [optional]
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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